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chore: import upstream snapshot with attribution
2026-07-13 13:36:55 +08:00

34 lines
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Python

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from polygraphy.backend.onnx import onnx_from_path, gs_from_onnx
from polygraphy.backend.onnx import util as onnx_util
from tests.models.meta import ONNX_MODELS
def test_get_num_nodes():
model = onnx_from_path(ONNX_MODELS["scan"].path)
assert onnx_util.get_num_nodes(model) == 3 # Should count subgraph nodes.
def test_get_unbounded_dds_tensors():
model = onnx_from_path(ONNX_MODELS["unbounded_dds"].path)
graph = gs_from_onnx(model)
tensors = onnx_util.get_unbounded_dds_tensors(graph)
assert len(tensors) == 1
assert tensors[0].name == "cast_out_6"